A Functional -- Scalable Architecture for Automatic Service Composition

Abstract

New value-added services are created by automatic service composition (ASC) dynamically and automatically from existing services at the user's request. Complete ASC system requests solving very large and complex realistic problems require consistent architecture. Most studies of service composition are based on four stages (planning, discovery, selection, and execution) and their variations such as integration of the stages or divergence in a stage. However, previous studies have not considered the functional scalability of ASC involving nested dynamic services in which the ASC calls inner ASCs internally during composition. In practice, there are many situations where dynamic services and existing services are combined in ASC. We present a blueprint for a modified four-stage composition architecture to allow for scalability in managing the nested composition flow. A general model for the composition architecture is described and a complete and detailed composition framework is introduced using our model. Finally, we analyze the proposed architecture to show its efficacy.